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CI: Fix flaky test_value_counts_null #32449

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Merged
merged 5 commits into from
Mar 7, 2020
Merged

CI: Fix flaky test_value_counts_null #32449

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2113521
sorting by index before comparing results in test_value_counts_null
SaturnFromTitan Mar 4, 2020
cde9df6
using sort_index for value_counts tests only for float16
SaturnFromTitan Mar 5, 2020
f04d255
Merge branch 'master' into fix-flaky-tests-test_value_counts_null
SaturnFromTitan Mar 5, 2020
ab04a73
using sort_index for all fixture values to handle all inconsistencies…
SaturnFromTitan Mar 5, 2020
72b4da1
only using sort_index if there are duplicated values
SaturnFromTitan Mar 5, 2020
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22 changes: 17 additions & 5 deletions pandas/tests/base/test_ops.py
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Original file line number Diff line number Diff line change
Expand Up @@ -311,9 +311,10 @@ def test_value_counts(self, index_or_series_obj):
if isinstance(obj, pd.MultiIndex):
expected.index = pd.Index(expected.index)

# sort_index to avoid switched order when values share the same count
result = result.sort_index()
expected = expected.sort_index()
if obj.dtype == np.float16:
# TODO: Order of entries with the same count is inconsistent on CI
result = result.sort_index()
expected = expected.sort_index()
tm.assert_series_equal(result, expected)

@pytest.mark.parametrize("null_obj", [np.nan, None])
Expand Down Expand Up @@ -344,13 +345,24 @@ def test_value_counts_null(self, null_obj, index_or_series_obj):
expected = pd.Series(dict(counter.most_common()), dtype=np.int64)
expected.index = expected.index.astype(obj.dtype)

tm.assert_series_equal(obj.value_counts(), expected)
result = obj.value_counts()
if obj.dtype == np.float16:
# TODO: Order of entries with the same count is inconsistent on CI
expected = expected.sort_index()
result = result.sort_index()
tm.assert_series_equal(result, expected)

# can't use expected[null_obj] = 3 as
# IntervalIndex doesn't allow assignment
new_entry = pd.Series({np.nan: 3}, dtype=np.int64)
expected = expected.append(new_entry)
tm.assert_series_equal(obj.value_counts(dropna=False), expected)

result = obj.value_counts(dropna=False)
if obj.dtype == np.float16:
# TODO: Order of entries with the same count is inconsistent on CI
expected = expected.sort_index()
result = result.sort_index()
tm.assert_series_equal(result, expected)

def test_value_counts_inferred(self, index_or_series):
klass = index_or_series
Expand Down